The intrinsic pose structure and silhouette are then deduced from these coordinates using a Gaussian process.
借助于Gauss过程，就可以从这个流形坐标推理出人体的姿态结构和外轮廓。
Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.
高斯过程隐变量模型是最近提出的比较流行的无监督降维方法。
Taking advantage of the analysis of the bias, an unbiased correlator without multiplier is deduced for Gaussian process and sinusoidal wave with random phase.
利用偏差分析的结果，可以得出一个对正态过程和随机相位正弦波都是无偏的不用乘法器的相关器。
First, the definition and properties of HOS are introduced. We especially notice that HOS is insensitive to Gaussian process. This is the theoretical basis of signal detection and estimation.
文章首先介绍了高阶统计量的定义和性质，特别指出了高阶统计量对高斯过程不敏感，这是我们利用它进行信号检测和估计的理论依据。
First, the definition and properties of HOS are introduced. We especially notice that HOS is insensitive to Gaussian process. This is the theoretical basis of signal detection and estimation.
文章首先介绍了高阶统计量的定义和性质，特别指出了高阶统计量对高斯过程不敏感，这是我们利用它进行信号检测和估计的理论依据。
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